# SAS System for Elementary Statistical Analysis, Second Edition

Acknowledgments
The Basics
Chapter 1: Introduction
• Purpose
• Audience
• What This Book Is and Isn't
• How This Book Is Organized
• How to Use This Book
• What SAS Software Do You Need?
Chapter 2: Getting Started
• Getting Started with SAS Software
• Summary
Chapter 3: Creating SAS Data Sets
• What Is a Data Set?
• Understanding the SAS DATA Step
• Creating the Speeding Ticket DATA Set
• Printing a Data Set
• Sorting a Data Set
• Summaries
Chapter 4: Summarizing Data
• Levels of Measurement
• Examining Data for Errors
• Descriptive Statistics
• Frequency Tables
• Bar Charts
• Exploratory Data Analysis: Simple Plots
• Using SAS/INSIGHT Software
• Summaries
• Statistical Background
Chapter 5: Understanding Some Basic Statistical Concepts
• Populations and Samples
• The Normal Distribution
• Parametric and Nonparametric Statistical Methods
• Testing for Normality
• Building a Hypothesis Test
• Statistical and Practical Significance
• Summaries
Chapter 6: Estimating the Mean
• Using One Number to Estimate the Mean
• Effect of Sample Size
• Effect of Population Variability
• The Distribution of Sample Averages
• Confidence Intervals for the Mean
• Summaries
• Comparing Groups
Chapter 7: Comparing Two Groups
• Deciding between Independent and Paired Groups
• Summarizing Data from Two Independent Groups
• Summarizing Data from Paired Observations
• Building Hypothesis Tests to Compare Two Groups
• Performing the Two-Sample t-test
• Performing the Wilcoxon Rank Sum Test
• Performing the Paired-Difference t-test
• Performing the Wilcoxon Signed Rank Test
• Comparing Two Groups by Using PROC INSIGHT
• Summaries
Chapter 8: Comparing More Than Two Groups
• Summarizing Data from More Than Two Groups
• Building a Hypothesis Test to Compare More Than Two Groups
• Performing a One-Way Analysis of Variance
• Performing a Kruskal-Wallis Test
• Multiple Comparison Procedures
• Comparing More than Two Groups Using PROC INSIGHT
• Summary
• Fitting Lines to Data
Chapter 9: Correlation and Regression
• Creating a Data Set
• Plotting Two Variables
• Calculating the Correlation Coefficient
• Performing Straight-Line Regression
• Regression with Two or More Independent Variables
• Fitting Curves
• Correlation and Regression when Using PROC INSIGHT
• Summaries
Chapter 10: Basic Regression Diagnostics
• Diagnostic Tools
• Characteristics of Residuals
• Using Plots of Residuals against Predicted Values
• Finding Out if More Terms Are Needed in a Model
• Using Plots of Residuals against Independent Variables
• Checking for Outliers in the Data
• Residual Plots in Time Sequence
• Summary of Diagnostics for KILOWATT and ENGINE Data
• Summaries
• Data in Tables
Chapter 11: Creating and Analyzing Crosstabulations
• Creating Tables
• Testing for Independence between Classification Variables
• Measures of Association with Ordinal Variables
• PROC INSIGHT and Crosstabulations
• Summaries
• Appendices
Appendix 1: Display Manager Basics
Windows in DMS
Typing in and Running a SAS Program
Printing and Saving Output
Appendix 2: Troubleshooting
Solving Common Program Problems
CanŐt Get SAS Software to Run
Formatted Values Incomplete
Received Wrong Summaries and an Error Message
Wrong Chart Produced
Didn't Get an Analysis of Variance
Didn't Get Multiple Comparison Procedures